The ALCF provides users with access to supercomputing resources that are significantly more powerful than systems typically used for open scientific research.
The ALCF is accelerating scientific discoveries in many disciplines, ranging from chemistry and engineering to physics and materials science.
The ALCF is committed to providing training and outreach opportunities that prepare researchers to efficiently use its leadership computing systems, while also cultivating a diverse and skilled HPC workforce for the future.
The Argonne Leadership Computing Facility enables breakthroughs in science and engineering by providing supercomputing resources and expertise to the research community.
The ALCF Support Center assists users with support requests related to their ALCF projects.
Help Desk Hours: 9:00am-5:00pm CT M-F Email: support@alcf.anl.gov
Access archived presentations and other materials from past ALCF training events below.
Type Video Topic Getting Started Topic Data Science System Polaris Published 11/01/2023
As the landscape of high-performance computing expands, support for machine learning workflows and interactivity becomes even more critical. JupyterLab, an evolution of the popular Jupyter Notebook...
Type Video Topic Visualization System Polaris Published 10/12/2023
This session provides information on tools and formats to do visualizations of your data.
Type Video Topic Data Management System Polaris Published 10/12/2023
This video session covers ALCF file systems along with how to share data with your colleagues.
Type Video Topic Workflows System Polaris Published 10/12/2023
This session covers workflow tools and why you should use them.
Type Video System Polaris Published 10/12/2023
Type Video Topic Programming Models System Polaris Published 10/12/2023
Type Video Topic Debugging Tools System Polaris Published 10/11/2023
This provides an overview of using THAPI and iprof to debug.
Type Video Topic Data Science System AI Testbed Published 10/11/2023
Type Video Topic Data Science System Polaris Published 10/11/2023
This session covers LLMs and how to get started running LLMs at the ALCF.
This training covers coupling HPC simulations and AI/ML. You will learn how to couple and what software to use, and you will get a demo of how to use NekRS.
Type Slides Topic Debugging Tools System Polaris Published 10/11/2023
This video provides a quickstart lesson on setting up and using TAU for profiling and tracing.
This video session covers using Python and Jupyter Notebooks on Polaris and containers at ALCF.
You learn about managing conda environments, running Python and multi-rank jobs, creating a new notebook...
Type Video Topic Performance Tools System Polaris Published 10/11/2023
This is an overview of Nsight Systems and Nsight Compute and how to run them on Polaris.
This session gives an overview of using Tensorflow, Pytorch, and JAX are the core deep learning frameworks on ALCF production resources. All three frameworks are accessible in python (and a few other...
This video shows how to use HPCToolkit performance tools for CPU and GPU-accelerated applications and provides resources for you to get started.
This video discusses distributed deep learning. It covers parallelization schemes, distributed training frameworks, and I/O and data management.
Type Video Topic Programming Models System Polaris Published 10/10/2023
This session covers why and how to use OpenMP.
This session explains SYCL and compares it to CUDA. This is a good place to start if you want to see if SYCL is right for your project.
This session explains Kokks and RAJA and provides an example on how to do a simple loop execution.
Type Video System Polaris System Aurora | Sunspot Published 10/10/2023
